dhnn|Design of Discrete Hopfield Neural Network Using a Single Flux。,project qt alberta

DHNN is a minimalistic and Numpy based implementation of the Discrete Hopfield Network. DHNN can learn (memorize) patterns and remember (recover) the patterns when the network feeds those with noises.

In this study, we investigate and implement a discrete Hopfield neural network (DHNN) using SFQ circuits. A DHNN is a binary neural network with less information than a standard fulldhnn precision neural network; it also provides a higher processing speed.

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